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基于HMM的人体行为识别方法

HMM-BASED HUMAN ACTIVITIES RECOGNITION HUMAN ACTIVITIES METHOD
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摘要 从图像序列中进行行为识别,是一个在计算机视觉中研究的相对活跃的领域。在本文中,我们提出一种新的基于HMM的算法,使用的阈值和表决自动有效地细分和识别复杂的活动。 Recognizing human activities from image sequences is an active area of research in computer vision. In this paper, we present a novel HMM-based approach that automatically and effectivelysegment and recognize simple activities.
作者 王博 葛卫丽
出处 《科技信息》 2011年第29期37-37,共1页 Science & Technology Information
关键词 HMM 行为识别 Human reeognition HMM
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参考文献3

  • 1A. Ali, J. K. Aggarwal,Segmentation and Recognition of Continuous Human Activity.IEEE Workshop on Detection and Recognition of Events in Video, Vancouver, Canada, July 08, 2001:28-35.
  • 2O. Masound, N Human activities.IEEE Conference on Advanced Video and Signal Based Surveillance,Miami, Florida, July 21-22,2003:157-162.
  • 3M. Brand, V. Kettnaker, Discovery and segmentation of activities in video. IEEE Trans. Pattern Analysis and Machine ntenigence., vol. 22,Aug,2000:841-851.

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